Rohit Prabhavalkar

According to our database, Rohit Prabhavalkar authored at least 84 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

End-to-End Speech Recognition: A Survey.

Rohit Prabhavalkar, Takaaki Hori, Tara N. Sainath, Ralf Schlüter, Shinji Watanabe

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Text Injection for Neural Contextual Biasing.

Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran

CoRR, 2024

Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping.

Lun Wang, Om Thakkar, Zhong Meng, Nicole Rafidi, Rohit Prabhavalkar, Arun Narayanan

CoRR, 2024

Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR.

Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Massive End-to-end Speech Recognition Models with Time Reduction.

Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models.

Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno

Proceedings of the IEEE International Conference on Acoustics, 2024

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models.

Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm.

Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar

CoRR, 2023

Massive End-to-end Models for Short Search Queries.

Weiran Wang, Rohit Prabhavalkar, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Zhong Meng, CJ Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar

CoRR, 2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu

CoRR, 2023

Improving Joint Speech-Text Representations Without Alignment.

Cal Peyser, Zhong Meng, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho, Ke Hu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

How to Estimate Model Transferability of Pre-Trained Speech Models?

Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition.

Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman

Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Contextual Biasing with Text Injection.

Tara N. Sainath, Rohit Prabhavalkar, Diamantino Caseiro, Pat Rondon, Cyril Allauzen

Proceedings of the IEEE International Conference on Acoustics, 2023

A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale.

Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2023

JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition.

Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran

Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Training: A Semi-Supervised Training Scheme for Speech Recognition.

Soheil Khorram, Anshuman Tripathi, Jaeyoung Kim, Han Lu, Qian Zhang, Rohit Prabhavalkar, Hasim Sak

Proceedings of the IEEE International Conference on Acoustics, 2023

E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model.

W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman

Proceedings of the IEEE International Conference on Acoustics, 2023

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models.

Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw

Proceedings of the IEEE International Conference on Acoustics, 2023

Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR.

Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays

Proceedings of the IEEE International Conference on Acoustics, 2023

The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning.

Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction.

Xingyu Cai, David Qiu, Shaojin Ding, Dongseong Hwang, Weiran Wang, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Improved Long-Form Speech Recognition By Jointly Modeling The Primary And Non-Primary Speakers.

Guru Prakash Arumugam, Shuo-Yiin Chang, Tara N. Sainath, Rohit Prabhavalkar, Quan Wang, Shaan Bijwadia

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

JOIST: A Joint Speech and Text Streaming Model for ASR.

Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Dual Learning for Large Vocabulary On-Device ASR.

Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Modular Hybrid Autoregressive Transducer.

Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Improving Rare Word Recognition with LM-aware MWER Training.

Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR.

W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improving Deliberation by Text-Only and Semi-Supervised Training.

Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes.

Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improving The Latency And Quality Of Cascaded Encoders.

Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

Neural-FST Class Language Model for End-to-End Speech Recognition.

Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition.

Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman

CoRR, 2021

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions.

Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency.

Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Dissecting User-Perceived Latency of On-Device E2E Speech Recognition.

Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Replacing Human Audio with Synthetic Audio for on-Device Unspoken Punctuation Prediction.

Daria Soboleva, Ondrej Skopek, Márius Sajgalík, Victor Carbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Word-Level Confidence for Subword End-To-End ASR.

David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw

Proceedings of the IEEE International Conference on Acoustics, 2021

Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging.

Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2021

Cascaded Encoders for Unifying Streaming and Non-Streaming ASR.

Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman

Proceedings of the IEEE International Conference on Acoustics, 2021

A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer and Large Scale Synthetic Data.

Nathan Howard, Alex Park, Turaj Zakizadeh Shabestary, Alexander Gruenstein, Rohit Prabhavalkar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency.

Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao

CoRR, 2020

Anti-Aliasing Regularization in Stacking Layers.

Antoine Bruguier, Ananya Misra, Arun Narayanan, Rohit Prabhavalkar

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency.

Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deliberation Model Based Two-Pass End-To-End Speech Recognition.

Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

Model Unit Exploration for Sequence-to-Sequence Speech Recognition.

Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen

CoRR, 2019

Two-Pass End-to-End Speech Recognition.

Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition.

Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models.

Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Streaming End-to-end Speech Recognition for Mobile Devices.

Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein

Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Endpointing and Decoding with End-to-end Models.

Shuo-Yiin Chang, Rohit Prabhavalkar, Yanzhang He, Tara N. Sainath, Gabor Simko

Proceedings of the IEEE International Conference on Acoustics, 2019

Phoebe: Pronunciation-aware Contextualization for End-to-end Speech Recognition.

Antoine Bruguier, Rohit Prabhavalkar, Golan Pundak, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2019

Recognizing Long-Form Speech Using Streaming End-to-End Models.

Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

A Comparison of End-to-End Models for Long-Form Speech Recognition.

Chung-Cheng Chiu, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Deep Context: End-to-end Contextual Speech Recognition.

Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding.

Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Compression of End-to-End Models.

Ruoming Pang, Tara N. Sainath, Rohit Prabhavalkar, Suyog Gupta, Yonghui Wu, Shuyuan Zhang, Chung-Cheng Chiu

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models.

Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Improving the Performance of Online Neural Transducer Models.

Tara N. Sainath, Chung-Cheng Chiu, Rohit Prabhavalkar, Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Zhifeng Chen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models.

Rohit Prabhavalkar, Tara N. Sainath, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Chung-Cheng Chiu, Anjuli Kannan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model.

Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Tara N. Sainath, Zhifeng Chen, Rohit Prabhavalkar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition.

Chris Donahue, Bo Li, Rohit Prabhavalkar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models.

Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

An Analysis of "Attention" in Sequence-to-Sequence Models.

Rohit Prabhavalkar, Tara N. Sainath, Bo Li, Kanishka Rao, Navdeep Jaitly

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

A Comparison of Sequence-to-Sequence Models for Speech Recognition.

Rohit Prabhavalkar, Kanishka Rao, Tara N. Sainath, Bo Li, Leif Johnson, Navdeep Jaitly

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer.

Kanishka Rao, Hasim Sak, Rohit Prabhavalkar

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Streaming small-footprint keyword spotting using sequence-to-sequence models.

Yanzhang He, Rohit Prabhavalkar, Kanishka Rao, Wei Li, Anton Bakhtin, Ian McGraw

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

On the Efficient Representation and Execution of Deep Acoustic Models.

Raziel Alvarez, Rohit Prabhavalkar, Anton Bakhtin

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

On the compression of recurrent neural networks with an application to LVCSR acoustic modeling for embedded speech recognition.

Rohit Prabhavalkar, Ouais Alsharif, Antoine Bruguier, Ian McGraw

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Personalized speech recognition on mobile devices.

Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez, Montse Gonzalez Arenas, Kanishka Rao, David Rybach, Ouais Alsharif, Hasim Sak, Alexander Gruenstein, Françoise Beaufays, Carolina Parada

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Compressing deep neural networks using a rank-constrained topology.

Preetum Nakkiran, Raziel Alvarez, Rohit Prabhavalkar, Carolina Parada

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks.

Rohit Prabhavalkar, Raziel Alvarez, Carolina Parada, Preetum Nakkiran, Tara N. Sainath

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013

Conditional Random Fields in Speech, Audio, and Language Processing.

Eric Fosler-Lussier, Yanzhang He, Preethi Jyothi, Rohit Prabhavalkar

Proc. IEEE, 2013

An evaluation of posterior modeling techniques for phonetic recognition.

Rohit Prabhavalkar, Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky

Proceedings of the IEEE International Conference on Acoustics, 2013

Discriminative articulatory models for spoken term detection in low-resource conversational settings.

Rohit Prabhavalkar, Karen Livescu, Eric Fosler-Lussier, Joseph Keshet

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Discriminative spoken term detection with limited data.

Rohit Prabhavalkar, Joseph Keshet, Karen Livescu, Eric Fosler-Lussier

Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012

A chunk-based phonetic score for mobile voice search.

Rohit Prabhavalkar, Jasha Droppo

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Articulatory Feature Classification Using Nearest Neighbors.

Arild Brandrud Næss, Karen Livescu, Rohit Prabhavalkar

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

A factored conditional random field model for articulatory feature forced transcription.

Rohit Prabhavalkar, Eric Fosler-Lussier, Karen Livescu

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010

Investigations into the Crandem Approach to Word Recognition.

Rohit Prabhavalkar, Preethi Jyothi, William Hartmann, Jeremy Morris, Eric Fosler-Lussier

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Combining monaural and binaural evidence for reverberant speech segregation.

John Woodruff, Rohit Prabhavalkar, Eric Fosler-Lussier, DeLiang Wang

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Backpropagation training for multilayer conditional random field based phone recognition.

Rohit Prabhavalkar, Eric Fosler-Lussier

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Monaural segregation of voiced speech using discriminative random fields.

Rohit Prabhavalkar, Zhaozhang Jin, Eric Fosler-Lussier

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009